Slash-and-burn cultivation practice and agricultural input demand and output supply

2006 ◽  
Vol 11 (2) ◽  
pp. 201-220 ◽  
Author(s):  
AWUDU ABDULAI ◽  
CLAUDIA R. BINDER

This study uses an endogenous switching-regression model to examine the impact of slash-and-burn cultivation practice on the application of commercial fertilizer and pesticides, as well as yields and net returns. The empirical evidence of the study indicates that cross-section analysis of the impact of technology adoption on input demand and output supply should take into consideration sample selection, and also examine the impact separately for adopters and non-adopters. The results show that education, access to credit, land rights, and visits by extension agents reduce the probability of farmers adopting slash-and-burn farm practices. Environmental variables, such as soil quality and plot slope, do not impact on the adoption decision, but affect output supply of both adopters and non-adopters of slash-and-burn technology.

2020 ◽  
Vol 12 (8) ◽  
pp. 3255 ◽  
Author(s):  
Anthony Siaw ◽  
Yuansheng Jiang ◽  
Martinson Ankrah Twumasi ◽  
Wonder Agbenyo

This study analyzed the effects of internet use on farm income and household income using survey data from 478 rural farmers from two regions in Ghana. An endogenous switching regression (ESR) model and probit models were employed to achieve the aims of the study. The results revealed that internet use was influenced by off-farm employment, education, access to credit, non-fixed asset (NFA), age, and perception variables. We found that internet use increased farm income and household income by 20.1% and 15.47%, respectively. Regarding heterogeneous impacts, the estimates showed that internet use reduced farm income by 18.12% for farm households that participated in off-farm activities but increased farm income by 14.66% for households that had access to NFA. The estimates also indicated that internet use increased household income by 31.77% for farm households that engaged in off-farm employment and by 15.33% for those that had access to NFA. Furthermore, internet use increased the household income for households that did not engage in off-farm activities by 24.85%. The findings of this study will contribute significantly to the existing literature on information communication technology (ICT) in developing countries by providing a new reference for improving rural development and solving the problem of poverty.


2021 ◽  
Vol 13 (3) ◽  
pp. 1059
Author(s):  
Martinson Ankrah Twumasi ◽  
Yuansheng Jiang ◽  
Bismark Addai ◽  
Zhao Ding ◽  
Abbas Ali Chandio ◽  
...  

The emergence of agricultural cooperatives is extensively viewed as a necessary institutional arrangement that can help farmers in developing countries overcome the constraints that impede them from improving sustainable agricultural production and acquiring new marketing opportunities. Therefore, this study examines the determinants of cooperative membership and its impact on fish farm household income, using data collected from two regions in Ghana. An endogenous switching regression (ESR) model is utilized to address the potential sample selection bias issue. The results show that household heads’ decisions to join cooperatives are affected by their access to credit, off-farm work, education level, and peer influence. Cooperative membership can increase both household and farm income by 28.54% and 34.75%, respectively. Moreover, we show that different groups of households’ cooperative impacts on farm and household income are heterogeneous. Our findings highlight the importance of cooperative patronization and provide implications that can improve households’ welfare.


2020 ◽  
Vol 147 (2) ◽  
pp. 517-544 ◽  
Author(s):  
Wubneshe Dessalegn Biru ◽  
Manfred Zeller ◽  
Tim K. Loos

AbstractMany studies evaluating the impact of adoption on welfare focused on adoption of a single technology giving little attention on the complementarity/substitutability among agricultural technologies. Yet, smallholders commonly adopt several complementary technologies at a time and their adoption decision is best characterized by multivariate models. This paper, therefore, examines the impact of multiple complementary technologies adoption on consumption, poverty and vulnerability of smallholders in Ethiopia. The study used a balanced panel data obtained from a survey of 390 farm households collected in 2012, 2014 and 2016. A two stage multinomial endogenous switching regression model combined with the Mundlak approach and balanced panel data is employed to account for unobserved heterogeneity for the adoption decision and differences in household and farm characteristics. An ordered probit model is used to analyze the impact on poverty and vulnerability. We find that the adoption of improved technologies increases consumption expenditure significantly and the greatest impact is attained when farmers combine multiple complementary technologies. Similarly, the likelihood of households to remain poor or vulnerable decreased with the adoption of different complementary technologies. We therefore conclude that the adoption of multiple complementary technologies has substantial dynamic benefits that improve the welfare of smallholders in the study area, and given the observed low level of adoption rates, we suggest that much more intervention is warranted, with a special focus on poorer and vulnerable households, to ensure smallholders get support to improve their input use.


2019 ◽  
Vol 6 (1) ◽  
pp. 20-33
Author(s):  
David Tanoh Aduhene ◽  
Sylvester Boadu ◽  
Ernest Obeng

The study examined the socio-demographic features of farmers and credit accessibility in the Sefwi-Wiawso Municipality Ghana. It also identifies the sources and factors influencing access to credit in the Sefwi-Wiawso Municipality. Primary data were obtained from 1,200 households and farmers within the Sefwi-Wiawso Municipal. The empirical analysis employed a logistic regression technique, the Tobit model and Endogenous Switching Regression Model (ESRM) to explore the accessibility of credit on productivity in the agriculture sector. The results revealed that age and gender are statistically significant in determining access to credit from both the logit and the endogenous regression models. The endogenous switching regression model further reveals that educational status, land ownership, access to knowledge on credit significantly influences the amount of credit received by a particular farmer within the Sefwi-Wiawso Municipality. These findings have practical implications for the modernizations of the Agriculture sector in Ghana. It is therefore important for various stakeholders to increase financial literacy among farming communities and the financial institutions to increase the credit accessibility by the Agriculture sector. It is therefore recommended that extension services provision, diversification of agriculture production and easy access to credit from financial institutions in the Municipality be established to ensure increased agriculture production.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Opeyemi Olanrewaju ◽  
Romanus Osabohien ◽  
James Fasakin

PurposeThe purpose of this study is to examine the impact of Anchor Borrowers Programme (APB) on youth rice farmers’ productivity (yield/ha).Design/methodology/approachUsing cross-sectional data from youth rice farmers in Kaduna State, Northern Nigeria, probit regression was used to examine the determinants of participation in ABP amongst the youth rice farmers. In addition, the instrumental variable (IV) regression approach that could mitigate selection bias due to unobservable factors resulting from the cross-sectional nature of the data was also used to determine the impact of the ABP on rice productivity of youth farmers.FindingsFindings from the study indicated that marital status, education, access to credit and membership of cooperative association were the significant determinants of participation in the ABP amongst the youth rice farmers.Practical implicationsThe implication of the result is that participation in the ABP leads to an increase in yield by about 42.46%, which shows the effectiveness of the ABP in the study area.Originality/valueThis study provides a rigorous econometric analysis of the determinants of ABP and its impact on rice productivity amongst youth farmers in Northern Nigeria. Thus, the study recommends improvement in credit accessibility, participation in the cooperative association and more education of the farmers to sustain the inputs distribution aim of the ABP.


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